dataset_info: | |
features: | |
- name: image | |
dtype: image | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': az | |
'1': be | |
'2': en | |
'3': et | |
'4': fn | |
'5': gr | |
'6': ja | |
'7': kk | |
'8': ko | |
'9': lt | |
'10': lv | |
'11': mn | |
'12': 'no' | |
'13': pl | |
'14': ru | |
'15': uk | |
'16': zh | |
splits: | |
- name: train | |
num_bytes: 7057770706.296 | |
num_examples: 2006 | |
- name: test | |
num_bytes: 1246282602.0 | |
num_examples: 339 | |
download_size: 7700053691 | |
dataset_size: 8304053308.296 | |
task_categories: | |
- text-classification | |
- translation | |
- feature-extraction | |
tags: | |
- code | |
size_categories: | |
- 1K<n<10K | |
license: mit | |
language: | |
- az | |
- be | |
- en | |
- et | |
- fi | |
- ka | |
- ja | |
- ko | |
- kk | |
- lv | |
- lt | |
- mn | |
- 'no' | |
- pl | |
- ru | |
- uk | |
- zh | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: test | |
path: data/test-* | |
# Dataset Card for "docs_on_several_languages" | |
This dataset is a collection of different images in different languages. | |
The daset includes the following languages: Azerbaijani (az: 0), Belorussian (be: 1), Chinese (zh: 16), English (en: 2), Estonian (et: 3), Finnish (fn: 4), Georgian (gr: 5), Japanese (ja: 6), Korean (ko: 7), Kazakh (kk: 8), Latvian (lv: 10), Lithuanian (lt: 9), Mongolian (mn: 11), Norwegian (no: 12), Polish (pl: 13), Russian (ru: 14), Ukranian (uk: 15). | |
Each language has a corresponding class label defined. At least 100 images in the entire dataset are allocated per class. This dataset was originally used for the task of classifying the language of a document based on its image, but I hope it can help you in other machine learning tasks. |